Synthesis of the NEMURO model studies and future directions of marine ecosystem modeling

Werner, Francisco E.; Ito, Shin; Megrey, Bernard A.; Kishi, Michio J.

doi:10.1016/j.ecolmodel.2006.08.019

Cited by 30 publications

(11 citation statements)

References 62 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this sense, biophysical individual-based models (IBMs) would be an ideal tool to reconstruct the survival processes of fish (Peck and Hufnagl, 2012). For Pacific saury, a bioenergetics model has been constructed to be coupled to a lower trophic level ecosystem model, the North Pacific Ecosystem Model for Understanding Regional Oceanography (NEMURO), by the North Pacific Marine Science Organization (PICES) Model Task Team (Ito et al, 2004(Ito et al, , 2010Kishi et al, 2007Kishi et al, , 2011Mukai et al, 2007;Werner et al, 2007). NEM-URO.FISH (For Including Saury and Herring) is now being extended and improved to reconstruct growth and migration processes of saury in the western North Pacific.…”

Section: Sst Sss Chlmentioning

confidence: 99%

“…Previous studies have clarified various aspects of their biology: for example, growth and survival during early life stages (Oozeki and Watanabe, 2000;Oozeki et al, 2003Oozeki et al, , 2004Watanabe et al, 2003;Suyama et al, 2011), age and growth of juveniles and adults (Kosaka, 2000;Kurita et al, 2004;Suyama et al, 2006), feeding biology (Sugisaki and Kurita, 2004), distribution (Huang et al, 2007;Tseng et al, 2013), migration (Kosaka, 2000;Kurita et al, 2004;Suyama et al, 2012a), reproduction (Kosaka, 2000;Kurita, 2003Kurita, , 2006, and climate impacts on population dynamics Tian et al, 2003Tian et al, , 2004, patchiness structure and mortality rate (Hayashi and Odate, 1981;Oozeki et al, 2009). In addition, Pacific saury is a major species used in bioenergetics models of fish growth and population dynamics in the western North Pacific (Ito et al, 2004(Ito et al, , 2010Kishi et al, 2007Kishi et al, , 2011Mukai et al, 2007;Werner et al, 2007). Biological parameters such as environmental preferences are crucial for the models to be more realistic and credible, as these parameter settings determine the growth and migration processes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Occurrence and density of Pacific saury Cololabis saira larvae and juveniles in relation to environmental factors during the winter spawning season in the Kuroshio Current system

Takasuka

Kuroda

Okunishi

et al. 2014

Fisheries Oceanography

Self Cite

View full text Add to dashboard Cite

The occurrence and density of Pacific saury Cololabis saira larvae and juveniles were examined in relation to environmental factors during the winter spawning season in the Kuroshio Current system, based on samples from extensive surveys off the Pacific coast of Japan in 2003–2012. Dense distributions of larvae and juveniles were observed in areas around and on the offshore side of the Kuroshio axis except during a large Kuroshio meander year (2005). The relationships of larval and juvenile occurrence and density given the occurrence to sea surface temperature (SST), salinity (SSS), and chlorophyll‐a concentration (CHL) were examined by generalized additive models for 10‐mm size classes up to 40 mm. In general, the optimal SST for larval and juvenile occurrence and density given the occurrence was consistently observed at 19–20°C. The patterns were more complex for SSS, but a peak in occurrence was observed at 34.75–34.80. In contrast, there were negative relationships of occurrence and density given the occurrence to CHL. These patterns tended to be consistent among different size classes, although the patterns differed for the smallest size class depending on environmental factors. Synthetically, the window for spawning and larval and juvenile occurrence and density seems to be largely determined by physical factors, in particular temperature. The environmental conditions which larvae and juveniles encounter would be maintained while they are transported. The survival success under the physically favorable but food‐poor conditions of the Kuroshio Current system could be key to their recruitment success.

show abstract

Section: Sst Sss Chlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Occurrence and density of Pacific saury Cololabis saira larvae and juveniles in relation to environmental factors during the winter spawning season in the Kuroshio Current system

Takasuka

Kuroda

Okunishi

et al. 2014

Fisheries Oceanography

Self Cite

View full text Add to dashboard Cite

show abstract

“…In particular, biophysical individual‐based models (IBMs) would be useful to reconstruct the survival processes of fish (Catalán, Macías, Solé, Ospina‐Álvarez, & Ruiz, ; Ospina‐Álvarez et al, ; Peck & Hufnagl, ). For example, a lower trophic level ecosystem model, North Pacific Ecosystem Model for Understanding Regional Oceanography (NEMURO), was extended to a bioenergetics model of fish growth and population dynamics, NEMURO.FISH (For Including Saury and Herring) (Ito et al, , 2015; Kishi, Ito, Megrey, Rose, & Werner, ; Werner, Ito, Megrey, & Kishi, ). The NEMURO.FISH has been extended to NEMURO.SAN (Sardine and Anchovy), which targets population dynamics of sardine and anchovy in various ecosystems (Rose et al, ; Werner et al, ).…”

Section: Discussionmentioning

confidence: 99%

“…For example, a lower trophic level ecosystem model, North Pacific Ecosystem Model for Understanding Regional Oceanography (NEMURO), was extended to a bioenergetics model of fish growth and population dynamics, NEMURO.FISH (For Including Saury and Herring) (Ito et al, , 2015; Kishi, Ito, Megrey, Rose, & Werner, ; Werner, Ito, Megrey, & Kishi, ). The NEMURO.FISH has been extended to NEMURO.SAN (Sardine and Anchovy), which targets population dynamics of sardine and anchovy in various ecosystems (Rose et al, ; Werner et al, ). In addition, growth and migration processes were modelled for Japanese sardine (Okunishi, Ito, Ambe, et al, ; Okunishi, Ito, Hashioka, et al, ; Okunishi, Yamanaka, & Ito, ).…”

Section: Discussionmentioning

confidence: 99%

Disentangling density‐dependent effects on egg production and survival from egg to recruitment in fish

2019

View full text Add to dashboard Cite

Understanding of density‐dependent effects is key to achieving sustainable management of self‐regulating biological resources such as fish stocks. Traditionally, density‐dependent effects on population abundance in fish have been considered to occur from hatching to recruitment, based on the paradigm of proportionality between spawning stock biomass and total egg production. Here, we demonstrate how the existence of intraspecific and interspecific density dependence in egg production changes the current understanding of density‐dependent processes in the life history of fish, by disentangling density‐dependent effects on egg production and survival from egg to recruitment, using sardine (Sardinops melanostictus, Clupeidae) and anchovy (Engraulis japonicus, Engraulidae) as model species. For sardine, strong intraspecific density‐dependent effects occurred in egg production, but no density‐dependent effects occurred or if any they were weak enough to be masked by environmental factors from hatching to recruitment. In contrast, for anchovy, interspecific density‐dependent effects occurred in egg production. In the survival after hatching, anchovy experienced stronger intraspecific density‐dependent effects than currently recognized. This analysis could overturn the current understanding of density‐dependent effects in the life history, highlighting contrasts between the effects on individual quality and population abundance and between the model species. We propose to reconsider the basis of fisheries management and recruitment studies based on the revised understanding of density‐dependent effects in the life history of the respective species.

show abstract

“…Allen et al, 2001) and increasingly decadal timescales (e.g. Werner et al, 2007). This has lead to a better understanding of the spatial and temporal scales of biophysical interactions.…”

Section: The State That the Art Is Inmentioning

confidence: 99%

Top-down, bottom-up or middle-out? Avoiding extraneous detail and over-generality in marine ecosystem models

Allen

Fulton

2010

Progress in Oceanography

View full text Add to dashboard Cite

International audienceThe paper by Hannah et al. (this volume) invokes foodweb theory and the ideas of complexity theory to guide the construction of models of intermediate complexity, which sacrifice explicit process detail to increase the number of interacting components of the system and simulate the web of feedback loops. This approach has its merits, if best practice modelling guidelines are followed and the method is used well. However, if this is not the case then the fundamental weakness of the intermediate model approach is that it may end up producing models that are over general and therefore not useful. To make the most of the intermediate complexity approach it is essential to keep the tenets of the middle-out approach in mind. Under the middle-out approach computational models are constructed and tested at the levels where we have the most detailed information, building on our existing knowledge and data and coupling a hierarchy of models rather than being swamped in a morass of detail or missing key feedbacks through over-generality

show abstract

Synthesis of the NEMURO model studies and future directions of marine ecosystem modeling

Cited by 30 publications

References 62 publications

Occurrence and density of Pacific saury Cololabis saira larvae and juveniles in relation to environmental factors during the winter spawning season in the Kuroshio Current system

Occurrence and density of Pacific saury Cololabis saira larvae and juveniles in relation to environmental factors during the winter spawning season in the Kuroshio Current system

Disentangling density‐dependent effects on egg production and survival from egg to recruitment in fish

Top-down, bottom-up or middle-out? Avoiding extraneous detail and over-generality in marine ecosystem models

Contact Info

Product

Resources

About